Materials discovery at high pressures

L Zhang, Y Wang, J Lv, Y Ma - Nature Reviews Materials, 2017 - nature.com
Pressure is a fundamental thermodynamic variable that can be used to control the properties
of materials, because it reduces interatomic distances and profoundly modifies electronic …

Materials discovery via CALYPSO methodology

Y Wang, J Lv, L Zhu, S Lu, K Yin, Q Li… - Journal of physics …, 2015 - iopscience.iop.org
The structure prediction at the atomic level is emerging as a state-of-the-art approach to
accelerate the functionality-driven discovery of materials. By combining the global swarm …

Generative adversarial networks for crystal structure prediction

S Kim, J Noh, GH Gu, A Aspuru-Guzik… - ACS central science, 2020 - ACS Publications
The constant demand for novel functional materials calls for efficient strategies to accelerate
the materials discovery, and crystal structure prediction is one of the most fundamental tasks …

The metallization and superconductivity of dense hydrogen sulfide

Y Li, J Hao, H Liu, Y Li, Y Ma - The Journal of chemical physics, 2014 - pubs.aip.org
Hydrogen sulfide (H 2 S) is a prototype molecular system and a sister molecule of water (H 2
O). The phase diagram of solid H 2 S at high pressures remains largely unexplored arising …

Screening surface structure of MXenes by high-throughput computation and vibrational spectroscopic confirmation

T Hu, M Hu, B Gao, W Li, X Wang - The Journal of Physical …, 2018 - ACS Publications
Functionalized MXenes hold promises in a variety of applications in which the dispensable
functional groups are mixed. The functionalization is spontaneously realized through …

Be2C Monolayer with Quasi‐Planar Hexacoordinate Carbons: A Global Minimum Structure

Y Li, Y Liao, Z Chen - Angewandte Chemie International …, 2014 - Wiley Online Library
The design of new materials is an important subject in order to attain new properties and
applications, and it is of particular interest when some peculiar topological properties such …

Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures

T Long, NM Fortunato, I Opahle, Y Zhang… - npj Computational …, 2021 - nature.com
Autonomous materials discovery with desired properties is one of the ultimate goals for
materials science, and the current studies have been focusing mostly on high-throughput …

Superhard in Cubic Diamond Structure

M Zhang, H Liu, Q Li, B Gao, Y Wang, H Li, C Chen… - Physical review …, 2015 - APS
We solve the crystal structure of recently synthesized cubic BC 3 using an unbiased swarm
structure search, which identifies a highly symmetric BC 3 phase in the cubic diamond …

Dimension-dependent phase transition and magnetic properties of VS 2

H Zhang, LM Liu, WM Lau - Journal of Materials Chemistry A, 2013 - pubs.rsc.org
Among dozens of layered transition metal dichalcogenides (TMDs), VS2 has attracted
particular interest due to its intrinsic magnetism and potential applications as a high …

CALYPSO structure prediction method and its wide application

H Wang, Y Wang, J Lv, Q Li, L Zhang, Y Ma - Computational Materials …, 2016 - Elsevier
Atomistic structure prediction from “scratch” is one of the central issues in physical, chemical,
materials and planetary science, and it will inevitably play a critical role in accelerating …